Triple
T9433344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Labourd |
E227438
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Ainhoa
Ainhoa is a picturesque Basque village in southwestern France, known for its traditional half-timbered houses and status as one of the "Most Beautiful Villages of France."
|
E799140
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Ainhoa | Statement: [Labourd, contains, Ainhoa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ainhoa Context triple: [Labourd, contains, Ainhoa]
-
A.
Begoña
Begoña is a Spanish feminine given name commonly used in Spain and Spanish-speaking countries.
-
B.
Alfonsa
Alfonsa is a feminine given name, primarily used in Romance-language cultures, derived from the masculine name Alfonso.
-
C.
Sanchia
Sanchia was a 13th-century noblewoman from the House of Provence who became Queen of the Romans through her marriage to Richard of Cornwall.
-
D.
Paola
Paola is a feminine given name of Latin origin commonly used in Spanish- and Italian-speaking countries.
-
E.
Paola
Paola is a town in southeastern Malta known for its historic sites, including the prehistoric Ħal Saflieni Hypogeum and other cultural landmarks.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ainhoa Triple: [Labourd, contains, Ainhoa]
Generated description
Ainhoa is a picturesque Basque village in southwestern France, known for its traditional half-timbered houses and status as one of the "Most Beautiful Villages of France."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ainhoa Target entity description: Ainhoa is a picturesque Basque village in southwestern France, known for its traditional half-timbered houses and status as one of the "Most Beautiful Villages of France."
-
A.
Begoña
Begoña is a Spanish feminine given name commonly used in Spain and Spanish-speaking countries.
-
B.
Alfonsa
Alfonsa is a feminine given name, primarily used in Romance-language cultures, derived from the masculine name Alfonso.
-
C.
Sanchia
Sanchia was a 13th-century noblewoman from the House of Provence who became Queen of the Romans through her marriage to Richard of Cornwall.
-
D.
Paola
Paola is a feminine given name of Latin origin commonly used in Spanish- and Italian-speaking countries.
-
E.
Paola
Paola is a town in southeastern Malta known for its historic sites, including the prehistoric Ħal Saflieni Hypogeum and other cultural landmarks.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca8437a7ac81908651de48f2d2141d |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7e61a114819081fc4a2ad39c96ba |
completed | April 1, 2026, 8:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1104514d481908d7cb9a87a01f1e2 |
completed | April 4, 2026, 1:21 p.m. |
| NEDg | Description generation | batch_69d1115ed8c48190af02a8ec38c8e2b9 |
completed | April 4, 2026, 1:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d111f3190c8190ba2fe5687212da25 |
completed | April 4, 2026, 1:28 p.m. |
Created at: March 30, 2026, 7:49 p.m.